| 雅鲁藏布江流域NDVI时空变化及其与降水和高程的关系 |
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| 引用本文： | 吕洋,董国涛,杨胜天,周秋文,蔡明勇.雅鲁藏布江流域NDVI时空变化及其与降水和高程的关系[J].资源科学,2014,36(3):603-611. |
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| 作者姓名： | 吕洋 董国涛 杨胜天 周秋文 蔡明勇 |
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| 作者单位： | 北京师范大学遥感科学国家重点实验室, 北京 100875;北京师范大学地理学与遥感科学学院, 北京 100875;黄河水利委员会黄河水利科学研究院, 郑州 450003;北京师范大学遥感科学国家重点实验室, 北京 100875;北京师范大学地理学与遥感科学学院, 北京 100875;1. 北京师范大学遥感科学国家重点实验室, 北京 100875;北京师范大学遥感科学国家重点实验室, 北京 100875;北京师范大学地理学与遥感科学学院, 北京 100875;北京师范大学遥感科学国家重点实验室, 北京 100875;北京师范大学地理学与遥感科学学院, 北京 100875 |
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| 基金项目： | 水利部公益性行业科研专项经费项目（编号：201101037）；国家科技支撑计划（编号：2012BAK12B03）；国家自然科学基金（编号：41301496）。 |
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| 摘 要： | 利用2001-2012年MODIS NDVI月数据,基于趋势分析法和Hurst指数法分析了雅鲁藏布江流域植被覆盖的时空分布及其变化规律,并采用基于像元的空间统计方法,结合TRMM月降水数据和SRTM DEM数据定量分析了NDVI与降水和高程的关系。结果表明:①雅鲁藏布江流域内NDVI整体上从上游到下游逐渐增大,近12年间流域NDVI较为稳定;②流域NDVI改善的面积大于退化的面积,总体上呈现缓慢上升趋势,但这种趋势的持续性呈现显著的空间差异;③流域NDVI与降水之间存在较为明显的正相关,其决定系数为0.496,NDVI随降水增加的速度约为0.052/100mm。当年降水量超过1 000mm时,年均NDVI平均值为0.686;④流域NDVI与高程呈现明显的负相关,其决定系数为0.574,NDVI随高程的递减率约为-0.016/100m。当高程2000m时,年均NDVI平均值为0.8左右。
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| 关 键 词： | 植被覆盖 NDVI Hurst指数 降水 高程 雅鲁藏布江流域 |
Spatio-Temporal Variation in NDVI in the Yarlung Zangbo River Basin and Its Relationship with Precipitation and Elevation |
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| LV Yang,DONG Guotao,YANG Shengtian,ZHOU Qiuwen and CAI Mingyong.Spatio-Temporal Variation in NDVI in the Yarlung Zangbo River Basin and Its Relationship with Precipitation and Elevation[J].Resources Science,2014,36(3):603-611. |
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| Authors: | LV Yang DONG Guotao YANG Shengtian ZHOU Qiuwen and CAI Mingyong |
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| Institution: | State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China;School of Geography, Beijing Normal University, Beijing 100875, China;Yellow River Institute of Hydraulic Research, Zhengzhou 450003, China;State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China;School of Geography, Beijing Normal University, Beijing 100875, China;1. State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China;State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China;School of Geography, Beijing Normal University, Beijing 100875, China;State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China;School of Geography, Beijing Normal University, Beijing 100875, China |
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| Abstract: | Vegetation is a crucial indicator of climate change. Quantitative studies of spatiotemporal variation in vegetation cover as well as its relationship with topographic and climatic factors are central to understanding regional environmental change and the prediction of future tendencies. In this study,the spatio-temporal pattern of NDVI in the Yarlung Zangbo River Basin from 2001 to 2012 and variation were analyzed using MODIS monthly NDVI data,and a quantitative analysis of the relationship between NDVI with precipitation and elevation was conducted using the TRMM monthly precipitation product and SRTM DEM data. The analysis indicated that in general,NDVI increased from the upper reaches to lower reaches,and that NDVI was stable with a slow uptrend during 2001 and 2012. In the lower reaches,annual average NDVI was over 0.6,while in the upper reaches it was less than 0.2. The spatial pattern of seasonal NDVI was in accordance with that of annual NDVI. The area where NDVI was improving was larger than where it was worsening. In general,NDVI increased gradually within the basin,but the sustainability of this trend was spatially varied. A clear and positive correlation existed between NDVI and precipitation and the determination coefficient was 0.496. The NDVI rate of increase with precipitation was 0.052/100mm. Annual average NDVI was near 0.7 in areas with annual precipitation over 1000 mm,and dropped to 0.155 when annual precipitation was less than 400 mm. The negative correlation between NDVI and elevation was evident with a determination coefficient of 0.574. The NDVI rate of decrease with elevation was about -0.016/100m. When the elevation was below 2000 m,average annual NDVI was 0.8. |
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| Keywords: | vegetation cover NDVI Hurst index precipitation elevation Yarlung Zangbo River Basin |
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